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B. Weyn, Van de Wouwer, G., Samir, G. K., Van Daele, A., Scheunders, P., Van Marck, E., and Jacob, W., “Computer-assisted differential diagnosis of malignant mesothelioma based on syntactic structure analysis”, Cytometry, vol. 35, pp. 23-29, 1999.
I. Wielaard, Reijmer, Y. D., Leemans, A., Heringa, S. M., Jeurissen, B., Koek, H. L., and Biessels, G. J., “Diffusion tensor imaging and cognition in Alzheimer’s disease: the influence of crossing fibers”, Endo-Neuro Psycho Meeting. Lunteren, The Netherlands, 2011.
G. Wolf and Scheunders, P., “Evaluation of the swimming activity of Daphnia magna by image analysis after administration of sublethal Cadmium concentrations”, Comparative Biochemistry and Physiology A, vol. 120, pp. 99-105, 1998.
F. L. Wuyts, Jillings, S., Van Ombergen, A., Jeurissen, B., Tomilovskaya, E., Rumshiskaya, A., Litvinova, L., Nosikova, I., Pechenkova, E., Rukavishnikov, I., and others, “Novel insight on effect and recovery of long-duration spaceflight on the ventricles of the space traveller's brain”, Proceedings of the International Astronautical Congress, IAC, vol. 2019. International Astronautical Federation, p. IAC–19_A1_2_4_x51230, 2019.
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M. Yosifov, Lang, T., Florian, V., Gerth, S., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Degradation Detection in Rice Products via Shape Variations in XCT Simulation-Empowered AI”, Journal of Nondestructive Evaluation, vol. 44, no. 10, 2025.
M. Yosifov, Weinberger, P., Reiter, M., Fröhler, B., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations”, in e-Journal of Nondestructive Testing, 2023, vol. 28, no. 3.PDF icon Download paper (2.37 MB)
M. Yosifov, Reiter, M., Heupl, S., Gusenbauer, C., Fröhler, B., R. Gutierrez, F. -, De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Probability of Detection applied to X-ray inspection using numerical simulations”, Nondestructive Testing and Evaluation, vol. 37, no. 5, pp. 536-551, 2022.
S. Yu, De Backer, S., and Scheunders, P., “Genetic feature selection combined with fuzzy kNN for hyperspectral satellite imagery”, in Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International, 2000, pp. 702-704.
S. Yu, Scheunders, P., and De Backer, S., “Genetic Feature selection combined with composite fuzzy nearest neighbor classifers for high-dimensional remote sensing data”, in Proc. IEEE Intern. Conf. on Systems, Man & Cybernetics, October 8-11, Nashville,TN, 2000, pp. 1912-1916.
S. Yu, De Backer, S., and Scheunders, P., “Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery”, Pattern Recognition Letters, vol. 23, pp. 183-190, 2002.
S. Yu and Scheunders, P., “Feature selection for high-dimensional remote sensing data by a maximum entropy principal based optimization”, in Proc. Geoscience and Remote Sensing Symposium, 2001, pp. 3303-3305.
S. Yu and Scheunders, P., “Fuzzy markov chains approach to feature selection for high dimensional remote sensing data”, in Geoscience and Remote Sensing Symposium, 2001, pp. 3306-3308.
S. Yu, “Feature Selection and Classifier Ensembles: A Study on Hyperspectral Remote Sensing Data”, University of Antwerp, Antwerp, 2003.
S. Yu, De Backer, S., and Scheunders, P., “Genetic Feature Selection Combined with Fuzzy K-NN for Hyperspectral Satellite Imagery”, in Intelligent Techniques and Soft Computing in Nuclear Science and Engineering, 2000, pp. 281-288.
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Z. Zahiri, Laefer, D., and Gowen, A., “Classification of hardened cement and lime mortar using short-wave infrared spectrometry data”, in 11th international conference on Structural Analysis of Historical Constructions, 2018.
Z. Zahiri, Laefer, D., and Gowen, A., “The feasibility of short-wave infrared spectrometry in assessing water-to-cement ratio and density of hardened concrete”, Construction and Building Materials, 2018.
Z. Zahiri, Ribbens, B., Vanlanduit, S., and Scheunders, P., “Automatic Detection of Surface Damages on Steel Structures using Near Infrared Hyperspectral Imaging”, 9th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS). 2018.
M. A. Zampini, Sijbers, J., Verhoye, M., and Garipov, R., “RAMSES: Relaxation Alternate Mapping of Spoiled Echo Signals sequence for simultaneous accurate T1 and T2* mapping”, ISMRM & SMRT Annual Meeting. 2021.
M. A. Zampini, Sijbers, J., Verhoye, M., and Garipov, R., “EPIFANI for ultrafast B1-corrected T1 and PD mapping”, Magn Reson Mater Phy, vol. 34. pp. S59-S60, 2021.
M. A. Zampini, “Development of spoiled gradient echo sequences for MRI relaxometry”, 2024.PDF icon Download PhD thesis (17.25 MB)
M. A. Zampini, Sijbers, J., Verhoye, M., and Garipov, R., “A preparation pulse for fast steady state approach in Actual Flip angle Imaging”, Medical Physics, vol. 51, no. 1, pp. 306-318, 2024.
D. Zanaga, Bleichrodt, F., Altantzis, T., Winckelmans, N., Palenstijn, W. J., Sijbers, J., de Nijs, B., van Huis, M. A., Sánchez-Iglesias, A., Liz-Marzán, L. M., van Blaaderen, A., Batenburg, K. J., Bals, S., and Van Tendeloo, G., “Quantitative 3D analysis of huge nanoparticle assemblies.”, Nanoscale, vol. 8, no. 1, pp. 292-9, 2016.
D. Zanaga, Bleichrodt, F., Altantzis, T., Winckelmans, N., Palenstijn, W. J., Sijbers, J., van Nijs, B., van Huis, M. A., van Blaaderen, A., Sánchez-Iglesias, A., Liz-Marzán, L. M., Batenburg, K. J., Bals, S., and Van Tendeloo, G., “Quantitative 3D analysis of huge nanoparticle assemblies”, Nanoscale, vol. 8, no. 1, pp. 292-299, 2015.
D. Zanaga, Altantzis, T., Sanctorum, J., Freitag, B., and Bals, S., “An alternative approach for ζ-factor measurement using pure element nanoparticles”, Ultramicroscopy, vol. 164, pp. 11–16, 2016.
M. Zare, M. Helfroush, S., Kazemi, K., and Scheunders, P., “Hyperspectral and multispectral image fusion using coupled non-negative tucker tensor decomposition”, Remote Sensing, vol. 13, no. 2930, 2021.PDF icon remotesensing-13-02930.pdf (3.79 MB)

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